Fake news detection on social media: A data mining perspective
Social media for news consumption is a double-edged sword. On the one hand, its low cost,
easy access, and rapid dissemination of information lead people to seek out and consume …
easy access, and rapid dissemination of information lead people to seek out and consume …
The future of false information detection on social media: New perspectives and trends
The massive spread of false information on social media has become a global risk, implicitly
influencing public opinion and threatening social/political development. False information …
influencing public opinion and threatening social/political development. False information …
A survey on fake news and rumour detection techniques
A Bondielli, F Marcelloni - Information sciences, 2019 - Elsevier
False or unverified information spreads just like accurate information on the web, thus
possibly going viral and influencing the public opinion and its decisions. Fake news and …
possibly going viral and influencing the public opinion and its decisions. Fake news and …
: Similarity-aware multi-modal fake news detection
Effective detection of fake news has recently attracted significant attention. Current studies
have made significant contributions to predicting fake news with less focus on exploiting the …
have made significant contributions to predicting fake news with less focus on exploiting the …
Beyond news contents: The role of social context for fake news detection
Social media is becoming popular for news consumption due to its fast dissemination, easy
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …
access, and low cost. However, it also enables the wide propagation of fake news, ie, news …
A survey on natural language processing for fake news detection
Fake news detection is a critical yet challenging problem in Natural Language Processing
(NLP). The rapid rise of social networking platforms has not only yielded a vast increase in …
(NLP). The rapid rise of social networking platforms has not only yielded a vast increase in …
Fake news early detection: A theory-driven model
Massive dissemination of fake news and its potential to erode democracy has increased the
demand for accurate fake news detection. Recent advancements in this area have proposed …
demand for accurate fake news detection. Recent advancements in this area have proposed …
Unsupervised fake news detection on social media: A generative approach
Social media has become one of the main channels for people to access and consume
news, due to the rapidness and low cost of news dissemination on it. However, such …
news, due to the rapidness and low cost of news dissemination on it. However, such …
[PDF][PDF] Fake news or truth? using satirical cues to detect potentially misleading news
Satire is an attractive subject in deception detection research: it is a type of deception that
intentionally incorporates cues revealing its own deceptiveness. Whereas other types of …
intentionally incorporates cues revealing its own deceptiveness. Whereas other types of …
TI-CNN: Convolutional neural networks for fake news detection
With the development of social networks, fake news for various commercial and political
purposes has been appearing in large numbers and gotten widespread in the online world …
purposes has been appearing in large numbers and gotten widespread in the online world …